Abstract
This paper presents a method for automatically labeling the move structures of academic abstracts to assist non-native speakers of English in writing academic abstracts. In our approach, sentences in a given abstract are automatically labeled with move sequences. The method involves an annotating small set of abstracts and n-grams with moves by hand, and learning the relationships between moves and n-grams in large unlabeled abstracts, and training a Hidden Markov Model of move sequences. We also implement and evaluate an automatic move tagger. The result of this paper shows that our automatic move tagger performs with reasonably high precision, and providing an automatic, practical and fast move tagger for non-native speakers to understand or write well-structured abstracts.